The growth of the HIV epidemic has been relentless, taking a devastating toll in terms of human health and social welfare. Setbacks in prevention interventions, including HIV vaccines and other behavioral and biomedical interventions, suggest that identifying effective prevention strategies may prove even more elusive than anticipated. In theory, one might conduct randomized clinical trials (RCTs) to estimate the efficacy of various promising intervention strategies on reducing HIV incidence among individuals and populations. However, for ethical and logistical reasons this is not feasible. One innovative alternative to long-term, randomized clinical trials is the use of stochastic modeling to allow for the simulation of a variety of interventions, alone and in combination, to assess their impact on HIV incidence and prevalence under a wide array of plausible assumptions. This proposal has the following three specific aims:
AIM1 : To build a stochastic, agent-based HIV transmission model which captures the population effects of transmission dynamics of HIV by incorporating sexual behaviors within a population that affect HIV transmission, linking the transmission model to the highly successful CEPAC US and CEPAC International models to capture the effects of HIV disease state and infectivity as a function of HIV RNA, treatment resistance, and adherence on HIV transmission in resource limited settings and the US and to calibrate the model to data from both the Republic of South Africa and the US before ART roll out.
AIM 2 : In the Republic of South Africa, to evaluate the impact of primary, secondary and combination HIV prevention interventions on population level measures of effect (HIV incidence, prevalence, life expectancy), cost and cost-effectiveness) in the epidemic.
AIM 3 : In the US, to evaluate the impact of primary, secondary and combination HIV prevention interventions either alone or in combination, on population level measures of effect (HIV incidence, prevalence, quality adjusted life expectancy), cost and cost-effectiveness among MSMs.
The assembled research team has an extensive and proven record of publishing and disseminating findings that inform priority-setting in HIV care and practice guideline development, both in the US and internationally. By expanding the CEPAC treatment model, and accomplishing the specific aims described above, the team will bring innovative analysis to the most crucial HIV prevention policy questions that face providers and policy-makers throughout the world.
|McCormick, Alethea W; Abuelezam, Nadia N; Fussell, Thomas et al. (2017) Displacement of sexual partnerships in trials of sexual behavior interventions: A model-based assessment of consequences. Epidemics 20:94-101|
|Abuelezam, Nadia N; McCormick, Alethea W; Fussell, Thomas et al. (2016) Can the Heterosexual HIV Epidemic be Eliminated in South Africa Using Combination Prevention? A Modeling Analysis. Am J Epidemiol 184:239-48|
|Matthews, Lynn T; Ribaudo, Heather B; Kaida, Angela et al. (2016) HIV-Infected Ugandan Women on Antiretroviral Therapy Maintain HIV-1 RNA Suppression Across Periconception, Pregnancy, and Postpartum Periods. J Acquir Immune Defic Syndr 71:399-406|
|Childs, Lauren M; Abuelezam, Nadia N; Dye, Christopher et al. (2015) Modelling challenges in context: lessons from malaria, HIV, and tuberculosis. Epidemics 10:102-7|
|Nieves, Christina I; Kaida, Angela; Seage 3rd, George R et al. (2015) The influence of partnership on contraceptive use among HIV-infected women accessing antiretroviral therapy in rural Uganda. Contraception 92:152-9|
|Himes, Sarah K; Tassiopoulos, Katherine; Yogev, Ram et al. (2015) Antiretroviral Drugs in Meconium: Detection for Different Gestational Periods of Exposure. J Pediatr 167:305-11.e3|
|McCormick, Alethea W; Abuelezam, Nadia N; Rhode, Erin R et al. (2014) Development, calibration and performance of an HIV transmission model incorporating natural history and behavioral patterns: application in South Africa. PLoS One 9:e98272|
|Walensky, Rochelle P; Ross, Eric L; Kumarasamy, Nagalingeswaran et al. (2013) Cost-effectiveness of HIV treatment as prevention in serodiscordant couples. N Engl J Med 369:1715-25|
|Abuelezam, Nadia N; Rough, Kathryn; Seage 3rd, George R (2013) Individual-based simulation models of HIV transmission: reporting quality and recommendations. PLoS One 8:e75624|
|Andrews, Jason R; Wood, Robin; Bekker, Linda-Gail et al. (2012) Projecting the benefits of antiretroviral therapy for HIV prevention: the impact of population mobility and linkage to care. J Infect Dis 206:543-51|
Showing the most recent 10 out of 11 publications